Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.
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npx tessl i github:sickn33/antigravity-awesome-skills --skill algolia-search61
Does it follow best practices?
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Validation for skill structure
Discovery
89%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a solid skill description with explicit trigger guidance and good keyword coverage for Algolia-specific search functionality. The main weakness is the vague 'expert patterns' phrasing which doesn't convey concrete actions. The description would benefit from replacing abstract language with specific capabilities like 'configure faceted search, set up synonyms, implement query rules'.
Suggestions
Replace 'Expert patterns for' with specific concrete actions like 'Configure faceted search, set up synonyms, implement query rules, optimize ranking formulas'
Expand the capabilities section to list specific Algolia features: facets, filters, highlighting, analytics, A/B testing
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Algolia search) and mentions some actions like 'implementation, indexing strategies, relevance tuning', but uses vague terms like 'expert patterns' rather than listing concrete specific actions. | 2 / 3 |
Completeness | Clearly answers both what (Algolia search implementation, indexing, React InstantSearch, relevance tuning) and when (explicit 'Use when:' clause with trigger terms). Has explicit trigger guidance. | 3 / 3 |
Trigger Term Quality | Includes good natural keywords users would say: 'algolia', 'instantsearch', 'search api', 'search functionality', 'adding search to'. These cover common variations of how users would request search-related help. | 3 / 3 |
Distinctiveness Conflict Risk | Clearly scoped to Algolia specifically with distinct triggers like 'algolia', 'instantsearch'. Unlikely to conflict with generic search or other search provider skills due to explicit Algolia branding. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
27%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a reasonable high-level overview of Algolia integration patterns but fails to deliver actionable guidance. The complete absence of executable code examples is a critical weakness for a technical integration skill. The placeholder 'Sharp Edges' table and generic 'See docs' references indicate incomplete content that wastes tokens without providing value.
Suggestions
Add executable code examples for each pattern (React InstantSearch setup, Next.js SSR configuration, indexing operations with algoliasearch client)
Complete the Sharp Edges table with actual issues, specific severity levels, and concrete solutions or code fixes
Replace generic 'See docs' references with specific file links or inline the critical information
Add a concrete workflow with validation steps for the data synchronization process (e.g., batch upload with error handling)
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Content is relatively lean and avoids excessive explanation, but the 'Sharp Edges' table is completely empty/placeholder with generic 'Issue' and 'See docs' entries that waste tokens without providing value. | 2 / 3 |
Actionability | No executable code examples provided despite describing React hooks, Next.js setup, and indexing strategies. Content describes what to use but never shows how with concrete, copy-paste ready code. | 1 / 3 |
Workflow Clarity | The indexing section lists three approaches with some best practices, but lacks explicit step sequences, validation checkpoints, or error recovery guidance for data synchronization operations. | 2 / 3 |
Progressive Disclosure | No references to external files or documentation despite mentioning 'See docs' repeatedly. Content is a flat structure with no clear navigation to detailed materials for advanced topics. | 1 / 3 |
Total | 6 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
Table of Contents
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